Plotting points over polygons - part 2
We have loaded the usual libraries as pd, plt, and gpd, the chickens dataset as chickens, and the service districts as service_district. Plot the service districts and chicken permits together to see what story your visualization tells.
This exercise is part of the course
Visualizing Geospatial Data in Python
Exercise instructions
- Start by plotting the GeoDataFrame with the service districts. Use the
namecolumn for your legend color. - Next plot latitude and longitude from the chicken data to create a scatterplot. Specify
'black'for the marker color and give them a'white'outline. - Give the plot a title: 'Nashville Chicken Permits' and label the x-axis as 'longitude' and the y-axis as 'latitude'.
- Add grid lines and show your plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot the service district shapefile
service_district.plot(column=____, legend=True)
# Add the chicken locations
plt.scatter(x=____, y=____, c=____, edgecolor = 'white')
# Add labels and title
plt.____('Nashville Chicken Permits')
plt.xlabel(____)
plt.ylabel(____)
# Add grid lines and show the plot
plt.____()
plt.____()